code: def _validate_augment(cls, data):
      if data is None or len(data) == 0:
          return [
              WarningException(
                  name=WarningName.INPUT_VALIDATION_WARNING,
                  code=WarningCode.WARNING_CODE_001,
                  msg=WarningMessage.LENGTH_IS_ZERO,
              )
          ]
  
      return []
  
imports: import math
  import random
  import numpy
  import pandas
  from multiprocessing.dummy import Pool
  from nlpaug.util import Action, Method, WarningException, WarningName, WarningCode, WarningMessage
label_desc: Use image node_id 4 for calling the Augmenter obj's underlying member method code with example usage: obj._validate_augment(cls, data) and returns: list, list